Risk Reporting Senior Analyst Assistant Vice President

Citi • Getzville, NY

2d

About The Position

Risk Reporting Senior Analyst Assistant Vice President

Experience and knowledge in banking will be desirable. 5+ years relevant professional experience, preferably in financial services industry or in a role directly supporting financial industry. Strong critical thinking for insights and solutions, including those that are self-identified. Strong presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging. Ability to work collaboratively with cross-functional units; ability to navigate a complex matrix environment. Experience in Data Analysis, including utilizing Big Data, Artificial Intelligence, and Business Intelligence solutions, along with extensive analytical programming techniques. Strong fluency in Python /SAS and Microsoft Office applications, particularly Excel and PowerPoint. Ability to manipulate data using SQL or equivalent; familiarity with DB Visualizer is a plus. Experience with Tableau and/or other BI Analytics toolsets (Tableau Preferred). Knowledge of the local/regional laws and regulations applicable to anti-money laundering a plus. Proven ability to work independently and be a self-starter. Bachelor's degree or equivalent required, advanced degree a plus. ACAMS Certification a plus. Analytical Thinking, Credible Challenge, Data Analysis, Governance, Management Reporting, Policy and Procedure, Policy and Regulation, Programming, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 28, 2026 ------------------------------------------------------ Collect, normalize, and analyze large sets of data from various source systems across different functions of the bank with the ability to apply quantitative and qualitative data analysis methods. Validate the data being utilized to identify data quality issues (if any), and work with Technology to address them. Identify relationships and trends in data, as well as any factors that could affect the results of research. Escalate identified risks and sensitive areas in terms of methodology and processes. Design, develop and improve process to automate the end-to-end analytics cycle from source data to final deliverable for senior management. Collaborate with cross-functional stakeholders to develop, design, and execute data-drive solutions to problem solve Demonstrate ability to continuously learn and provide value in a dynamic environment. Managing the day-to-day aspects of the program.

Requirements

• Experience and knowledge in banking will be desirable.
• 5+ years relevant professional experience, preferably in financial services industry or in a role directly supporting financial industry.
• Strong critical thinking for insights and solutions, including those that are self-identified.
• Strong presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging.
• Ability to work collaboratively with cross-functional units; ability to navigate a complex matrix environment.
• Experience in Data Analysis, including utilizing Big Data, Artificial Intelligence, and Business Intelligence solutions, along with extensive analytical programming techniques.
• Strong fluency in Python /SAS and Microsoft Office applications, particularly Excel and PowerPoint.
• Ability to manipulate data using SQL or equivalent; familiarity with DB Visualizer is a plus.
• Proven ability to work independently and be a self-starter.
• Bachelor's degree or equivalent required, advanced degree a plus.
• Analytical Thinking
• Credible Challenge
• Data Analysis
• Governance
• Management Reporting
• Policy and Procedure
• Policy and Regulation
• Programming
• Risk Controls and Monitors
• Risk Identification and Assessment

Nice To Haves

• Experience with Tableau and/or other BI Analytics toolsets (Tableau Preferred).
• Knowledge of the local/regional laws and regulations applicable to anti-money laundering a plus.
• ACAMS Certification a plus.

Responsibilities

• Collect, normalize, and analyze large sets of data from various source systems across different functions of the bank with the ability to apply quantitative and qualitative data analysis methods.
• Validate the data being utilized to identify data quality issues (if any), and work with Technology to address them.
• Identify relationships and trends in data, as well as any factors that could affect the results of research.
• Escalate identified risks and sensitive areas in terms of methodology and processes.
• Design, develop and improve process to automate the end-to-end analytics cycle from source data to final deliverable for senior management.
• Collaborate with cross-functional stakeholders to develop, design, and execute data-drive solutions to problem solve
• Demonstrate ability to continuously learn and provide value in a dynamic environment.
• Managing the day-to-day aspects of the program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees